A Novel Fault Detection Method for Running Gear Systems Based on Dynamic Inner Slow Feature Analysis

IEEE Access ◽

10.1109/access.2020.3039464 ◽

2020 ◽

Vol 8 ◽

pp. 211371-211379

Author(s):

Yu Song ◽

Sheng Yang ◽

Chao Cheng ◽

Pu Xie

Keyword(s):

Fault Detection ◽

Detection Method ◽

Feature Analysis ◽

Slow Feature Analysis ◽

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Nonlinear Process Fault Detection Method using Slow Feature Analysis

Proceedings of the 2015 International Symposium on Computers and Informatics ◽

10.2991/isci-15.2015.112 ◽

2015 ◽

Author(s):

Yirong Lu ◽

Dan Wang ◽

Yupu Yang

Keyword(s):

Fault Detection ◽

Detection Method ◽

Nonlinear Process ◽

Feature Analysis ◽

Slow Feature Analysis

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Fault Detection in Managed Pressure Drilling Using Slow Feature Analysis

IEEE Access ◽

10.1109/access.2018.2846295 ◽

2018 ◽

Vol 6 ◽

pp. 34262-34271 ◽

Author(s):

Xiaoyong Gao ◽

Haishou Li ◽

Yuhong Wang ◽

Tao Chen ◽

Xin Zuo ◽

...

Keyword(s):

Fault Detection ◽

Feature Analysis ◽

Slow Feature Analysis ◽

Managed Pressure Drilling

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Process fault detection based on dynamic kernel slow feature analysis

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2014.11.003 ◽

2015 ◽

Vol 41 ◽

pp. 9-17 ◽

Author(s):

Ni Zhang ◽

Xuemin Tian ◽

Lianfang Cai ◽

Xiaogang Deng

Keyword(s):

Fault Detection ◽

Feature Analysis ◽

Slow Feature Analysis

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Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description

ISA Transactions ◽

10.1016/j.isatra.2018.10.016 ◽

2019 ◽

Vol 85 ◽

pp. 119-128 ◽

Author(s):

Jian Huang ◽

Okan K. Ersoy ◽

Xuefeng Yan

Keyword(s):

Fault Detection ◽

Feature Analysis ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Slow Feature Analysis ◽

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Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis

ISA Transactions ◽

10.1016/j.isatra.2018.05.005 ◽

2018 ◽

Vol 79 ◽

pp. 108-126 ◽

Author(s):

Hanyuan Zhang ◽

Xuemin Tian ◽

Xiaogang Deng ◽

Yuping Cao

Keyword(s):

Fault Detection ◽

Batch Process ◽

Feature Analysis ◽

Slow Feature Analysis ◽

Detection And Identification ◽

Fault Detection And Identification

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Fault Detection and Diagnosis of the Air Handling Unit via an Enhanced Kernel Slow Feature Analysis Approach Considering the Time-wise and Batch-wise Dynamics

Energy and Buildings ◽

10.1016/j.enbuild.2021.111467 ◽

2021 ◽

pp. 111467

Author(s):

Hanyuan Zhang ◽

Chengdong Li ◽

Ding Li ◽

Yunchu Zhang ◽

Wei Peng

Keyword(s):

Fault Detection ◽

Fault Detection And Diagnosis ◽

Feature Analysis ◽

Analysis Approach ◽

Air Handling Unit ◽

Slow Feature Analysis ◽

Detection And Diagnosis

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A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion

Remote Sensing of Environment ◽

10.1016/j.rse.2017.07.009 ◽

2017 ◽

Vol 199 ◽

pp. 241-255 ◽

Author(s):

Chen Wu ◽

Bo Du ◽

Xiaohui Cui ◽

Liangpei Zhang

Keyword(s):

Change Detection ◽

Detection Method ◽

Feature Analysis ◽

Slow Feature Analysis

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Fault detection and diagnosis based on multi-block Just-In-Time-learning slow feature analysis

10.1109/eiecs53707.2021.9588017 ◽

2021 ◽

Author(s):

Jin Hua Huo ◽

Luo Yang ◽

Xin Gang Guo ◽

Lian Jie Xu

Keyword(s):

Fault Detection ◽

Fault Detection And Diagnosis ◽

Feature Analysis ◽

Just In Time ◽

Slow Feature Analysis ◽

Detection And Diagnosis

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Dynamic nonlinear batch process fault detection and identification based on two‐directional dynamic kernel slow feature analysis

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23832 ◽

2020 ◽

Vol 99 (1) ◽

pp. 306-333

Author(s):

Hanyuan Zhang ◽

Xiaogang Deng ◽

Yunchu Zhang ◽

Chuanjing Hou ◽

Chengdong Li

Keyword(s):

Fault Detection ◽

Batch Process ◽

Feature Analysis ◽

Slow Feature Analysis ◽

Detection And Identification ◽

Fault Detection And Identification

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Anomaly Detection Method for Multimode Complex Industrial Process Based on Multiple Subspaces Slow Feature Analysis

IEEE Access ◽

10.1109/access.2021.3107724 ◽

2021 ◽

Vol 9 ◽

pp. 119722-119734

Author(s):

Hao Xu ◽

Huiqun Yu

Keyword(s):

Anomaly Detection ◽

Detection Method ◽

Industrial Process ◽

Feature Analysis ◽

Slow Feature Analysis

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